effect-workshop
By ethanniser
effect-openai
By IMax153
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effect-workshop | effect-openai | |
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1 | 1 | |
92 | 21 | |
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9.6 | 7.6 | |
3 months ago | about 2 months ago | |
TypeScript | TypeScript | |
- | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
effect-workshop
Posts with mentions or reviews of effect-workshop.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-19.
-
Effect 3.0
The same app was used in the Advanced Workshop held in Vienna by Maxwell Brown, you can start to follow the workshop from the material knowing that recordings will be made public soon, together with the Beginner/Intermediate Workshop held by Ethan Niser.
effect-openai
Posts with mentions or reviews of effect-openai.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-19.
-
Effect 3.0
If you prefer instead to have a look at a fully working & effect-native app we've prepared a demo cli app that you can directly open in Gitpod or locally (if you prefer), you'll need to provide an OpenAI API Key in order to integrate with the OpenAI API. The demo app allows you to train a model via embeddings from a set of files and then allows you to prompt the trained model with questions.